{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "程序开始运行\n",
      "程序可以正常运行\n"
     ]
    }
   ],
   "source": [
    "print(\"程序开始运行\")\n",
    "import os\n",
    "import numpy as np\n",
    "import cv2\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib import font_manager\n",
    "font_manager.fontManager.addfont('./simkai.ttf')\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import matplotlib as mpl\n",
    "from sklearn.cluster import DBSCAN\n",
    "mpl.rcParams['font.sans-serif'] = ['KaiTi']\n",
    "mpl.rcParams['font.serif'] = ['KaiTi']\n",
    "mpl.rcParams['font.size'] =20\n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "print(\"程序可以正常运行\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 1, 2, 3, 4, 5, 6, 7, 8])"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a=np.arange(9)\n",
    "a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0, 1, 2],\n",
       "       [3, 4, 5],\n",
       "       [6, 7, 8]])"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a=a.reshape(3,3)\n",
    "a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([['0', '0'],\n",
       "       ['宋江', '宋江']], dtype='<U21')"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#上面是生成了一个数组然后进行了一下reshape 得到3x3的数组\n",
    "#np.where(布尔值，True位置的值，False位置的值)  如下图\n",
    "b=np.where(a[1:,1:]>6,\"宋江\",0)\n",
    "b"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[False, False],\n",
       "       [ True,  True]])"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a[1:,1:]>6"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[4, 5],\n",
       "       [7, 8]])"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a[1:,1:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([['4', '5'],\n",
       "       ['宋江', '宋江']], dtype='<U21')"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#也可以不变是自己本身\n",
    "np.where(a[1:,1:]>6,\"宋江\",a[1:,1:])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 图片尝试"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### 用在一个图片的二值化 比如下图中 我希望图片中黑色的石头颜色保持不变 背景的灰色值变成白色 即像素值大于已定阈值就变成255（白色）  其余的保持不变\n",
    "##### cv中的cv2.threshold（）函数二值化有哪几种模式 没有找到这种需求"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(83, 55, 3)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "## 用imread的方法读取并显示图片\n",
    "#读取图片\n",
    "img = cv2.imread(\"1 (1)_2.tif\")#img = cv2.imread(\"m809.tif\")\n",
    "print(img.shape)\n",
    "\n",
    "plt.subplot()\n",
    "# plt.axis('off')\n",
    "plt.imshow(cv2.cvtColor(img, cv2.COLOR_BGR2RGB))\n",
    "plt.title(\"imread\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "灰度图的数据类型: <class 'numpy.ndarray'> \t灰度图的维度: (83, 55)\n"
     ]
    }
   ],
   "source": [
    "#这里图像是三通道的  先转成一下灰度图\n",
    "img_gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)\n",
    "\n",
    "plt.subplot()\n",
    "# plt.axis('off')\n",
    "plt.imshow(cv2.cvtColor(img_gray, cv2.COLOR_BGR2RGB))\n",
    "plt.title(\"灰度图\")\n",
    "plt.show()\n",
    "print(\"灰度图的数据类型:\",type(img_gray),\"\\t灰度图的维度:\",img_gray.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "np.where转换图的数据类型: <class 'numpy.ndarray'> \t灰度图的维度: (83, 55)\n"
     ]
    }
   ],
   "source": [
    "img_new=np.where(img_gray>200,255,img_gray)\n",
    "\n",
    "plt.subplot()\n",
    "# plt.axis('off')\n",
    "plt.imshow(cv2.cvtColor(img_new, cv2.COLOR_BGR2RGB))\n",
    "plt.title(\"np.where转换\")\n",
    "plt.show()\n",
    "print(\"np.where转换图的数据类型:\",type(img_gray),\"\\t灰度图的维度:\",img_new.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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